• DocumentCode
    3740989
  • Title

    Dyed banknotes detection system using digital: Image processing

  • Author

    Gabriel Penalber;Luiz E. S. e Silva;Kenny V. dos Santos;S. S. Waldir;Wheidima C. Melo

  • Author_Institution
    Federal University of Amazonas Manaus, AM, Brasil
  • fYear
    2015
  • Firstpage
    191
  • Lastpage
    192
  • Abstract
    Currently, there Is a growing demand for automated teller machine (ATM) in the cities. Due to the large concentration of banknotes, these devices have been targets of theft with the use of explosives. When this action occurs, generally, the ATM dyes the banknotes using a degradation agent in order to avoid the use of banknotes in the market and helps the police to identify criminals. In this article, we propose a dyed banknotes detection system using digital image processing tools. In the experiments performed to test images 72 and five systems, we found that the results are excellent with respect to detection error and the runtime.
  • Keywords
    "Online banking","Digital images","Runtime","Image color analysis","Histograms","Databases","Image segmentation"
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (GCCE), 2015 IEEE 4th Global Conference on
  • Type

    conf

  • DOI
    10.1109/GCCE.2015.7398685
  • Filename
    7398685